Simform Solutions - Senior Data Engineer - AWS

Job Title : Sr. Data Engineer (AWS)

Location : Ahmedabad, Gujarat

Job Type : Full Time

Experience : 4+ years

Department : Data Engineering

About Simform

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.

Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Overview

The Sr. Data Engineer (AWS/Azure) will be responsible for building and managing robust, scalable, and secure data pipelines across cloud-based infrastructure. The role includes designing ETL/ELT workflows, implementing data lake and warehouse solutions, and integrating with real-time and batch data systems using AWS/Azure services. You will work closely with data scientists, ML engineers, and software teams to power data-driven applications and analytics.

Key Responsibilities

• Design, develop, and maintain scalable end-to-end data pipelines on AWS/Azure.
• Build robust ETL/ELT workflows for both batch and streaming data workloads.
• Design high-performance data models and manage large-scale structured and unstructured datasets (100GB+).
• Develop distributed data processing solutions using Apache Kafka, Spark, Flink, and Airflow.
• Implement best practices for data transformation, data quality, and error handling.
• Optimize SQL queries, implement indexing, partitioning, and tuning strategies for performance improvement.
• Integrate various data sources including PostgreSQL, SQL Server, MySQL, MongoDB, Cassandra, and Neptune.
• Collaborate with software developers, ML engineers, and stakeholders to support business and analytics initiatives.
• Ensure adherence to data governance, security, and compliance standards.
• Participate in client meetings, provide technical guidance, and document architecture decisions.
  
  

Preferred Qualifications (Nice To Have)

• Exposure to data lake architecture and lakehouse frameworks.
• Understanding of integrating data pipelines with ML workflows.
• Experience in CI/CD automation for data pipeline deployments.
• Familiarity with data observability and monitoring tools.
  
  

(ref:hirist.tech)